{"total":54,"rows":[{"id":"2201.08239","title":"LaMDA: Language Models for Dialog Applications","created":"2022-01-20","cited_by_count":1220,"area":null},{"id":"2309.00770","title":"Bias and Fairness in Large Language Models: A Survey","created":"2023-09-02","cited_by_count":639,"area":null},{"id":"2101.05783","title":"Persistent Anti-Muslim Bias in Large Language Models","created":"2021-01-14","cited_by_count":377,"area":null},{"id":"2106.13219","title":"Towards Understanding and Mitigating Social Biases in Language Models","created":"2021-06-24","cited_by_count":296,"area":null},{"id":"2105.04054","title":"Societal Biases in Language Generation: Progress and Challenges","created":"2021-05-10","cited_by_count":202,"area":null},{"id":"2106.03521","title":"RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models","created":"2021-06-07","cited_by_count":149,"area":null},{"id":"2201.05337","title":"A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models","created":"2022-01-14","cited_by_count":129,"area":null},{"id":"2109.03646","title":"Sustainable Modular Debiasing of Language Models","created":"2021-09-08","cited_by_count":100,"area":null},{"id":"2404.11457","title":"Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era","created":"2024-04-17","cited_by_count":98,"area":null},{"id":"2112.14168","title":"A Survey on Gender Bias in Natural Language Processing","created":"2021-12-28","cited_by_count":89,"area":null},{"id":"2411.10915","title":"Bias in Large Language Models: Origin, Evaluation, and Mitigation","created":"2024-11-16","cited_by_count":77,"area":null},{"id":"2205.02526","title":"Theories of \"Gender\" in NLP Bias Research","created":"2022-05-05","cited_by_count":62,"area":null},{"id":"2402.01981","title":"Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes","created":"2024-02-03","cited_by_count":59,"area":null},{"id":"2102.12594","title":"Directional Bias Amplification","created":"2021-02-24","cited_by_count":54,"area":null},{"id":"2311.16153","title":"Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications","created":"2023-11-07","cited_by_count":54,"area":null},{"id":"2310.05280","title":"Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems","created":"2023-10-08","cited_by_count":37,"area":null},{"id":"2110.05367","title":"Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting","created":"2021-10-11","cited_by_count":35,"area":null},{"id":"2210.04492","title":"Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization","created":"2022-10-10","cited_by_count":33,"area":null},{"id":"2210.11471","title":"Choose Your Lenses: Flaws in Gender Bias Evaluation","created":"2022-10-20","cited_by_count":29,"area":null},{"id":"2305.11262","title":"CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models","created":"2023-05-18","cited_by_count":28,"area":null},{"id":"2306.08158","title":"Sociodemographic Bias in Language Models: A Survey and Forward Path","created":"2023-06-13","cited_by_count":28,"area":null},{"id":"2406.05392","title":"Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey","created":"2024-06-08","cited_by_count":23,"area":null},{"id":"2211.05617","title":"Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey","created":"2022-11-10","cited_by_count":22,"area":null},{"id":"2407.15366","title":"Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias","created":"2024-07-22","cited_by_count":17,"area":null},{"id":"2206.10744","title":"Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information","created":"2022-06-21","cited_by_count":16,"area":null},{"id":"2306.06135","title":"Safety and Fairness for Content Moderation in Generative Models","created":"2023-06-09","cited_by_count":16,"area":null},{"id":"2110.08413","title":"Invariant Language Modeling","created":"2021-10-16","cited_by_count":15,"area":null},{"id":"2403.09963","title":"Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction","created":"2024-03-15","cited_by_count":13,"area":null},{"id":"2306.02177","title":"Towards Coding Social Science Datasets with Language Models","created":"2023-06-03","cited_by_count":11,"area":null},{"id":"2312.01509","title":"Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies","created":"2023-12-03","cited_by_count":11,"area":null},{"id":"2204.10365","title":"Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2302.02453","title":"FineDeb: A Debiasing Framework for Language Models","created":"2023-02-05","cited_by_count":7,"area":null},{"id":"2305.14307","title":"Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models","created":"2023-05-23","cited_by_count":7,"area":null},{"id":"2103.06598","title":"DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces","created":"2021-03-11","cited_by_count":5,"area":null},{"id":"2211.04256","title":"Bridging Fairness and Environmental Sustainability in Natural Language Processing","created":"2022-11-08","cited_by_count":5,"area":null},{"id":"2302.05508","title":"FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models","created":"2023-02-10","cited_by_count":5,"area":null},{"id":"2409.17929","title":"The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification","created":"2024-09-26","cited_by_count":5,"area":null},{"id":"2203.03541","title":"Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods","created":"2022-02-04","cited_by_count":4,"area":null},{"id":"2312.15478","title":"A Group Fairness Lens for Large Language Models","created":"2023-12-24","cited_by_count":4,"area":null},{"id":"2406.12634","title":"News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2202.03792","title":"Counterfactual Multi-Token Fairness in Text Classification","created":"2022-02-08","cited_by_count":3,"area":null},{"id":"2407.11203","title":"The Life Cycle of Large Language Models: A Review of Biases in Education","created":"2024-06-03","cited_by_count":3,"area":null},{"id":"2211.07350","title":"Does Debiasing Inevitably Degrade the Model Performance","created":"2022-11-14","cited_by_count":2,"area":null},{"id":"2409.05257","title":"UPCS: Unbiased Persona Construction for Dialogue Generation","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2410.05349","title":"SoK: Towards Security and Safety of Edge AI","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2502.15600","title":"Robust Bias Detection in MLMs and its Application to Human Trait Ratings","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2110.01951","title":"Multi-Objective Few-shot Learning for Fair Classification","created":"2021-10-05","cited_by_count":0,"area":null},{"id":"2305.07016","title":"A General-Purpose Multilingual Document Encoder","created":"2023-05-11","cited_by_count":0,"area":null},{"id":"2305.14574","title":"Detecting and Mitigating Indirect Stereotypes in Word Embeddings","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2312.09043","title":"Topic Bias in Emotion Classification","created":"2023-12-14","cited_by_count":0,"area":null},{"id":"2412.01711","title":"Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models","created":"2024-12-02","cited_by_count":0,"area":null},{"id":"2505.02252","title":"Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models","created":"2025-05-04","cited_by_count":0,"area":null},{"id":"2509.09735","title":"Discrimination by LLMs: Cross-lingual Bias Assessment and Mitigation in Decision-Making and Summarisation","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2604.26188","title":"Efficient and Interpretable Transformer for Counterfactual Fairness","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}